Data Scientist

Leidos • Odenton, MD

2d • $154,050 - $278,475

About The Position

Leidos Intelligence Sector seeks an experienced Data Scientist to support United States Cyber Command (USCYBERCOM). The role architects frameworks for analytic superiority and engineers AI capabilities into production. The Data Scientist is expected to mentor senior technologists by example and work hands-on to solve complex technical roadblocks.

The position focuses on agentic AI frameworks, fine-tuning open-source models in air-gapped enclaves, building Retrieval-Augmented Generation stacks, integrating mission systems, and scripting. It requires TS/SCI with CI Poly clearance and substantial experience in technical roles, machine learning or data science, and the IC/DoD ecosystem.

The posting lists a pay range of $154,050.00–$278,475.00. Leidos notes that the range is a general guideline and that offers may depend on factors including responsibilities, education, experience, skills, internal equity, market data, and applicable agreements or law.

Requirements

• 12–15+ years of experience in technical roles.
• 5+ years specifically in Machine Learning Engineering or Data Science.
• 3–5 years working within the Intelligence Community or Department of Defense ecosystem, specifically with systems such as Maven or TACMS.
• Mastery of Python, Go, and Bash.
• Hands-on experience fine-tuning open-source models such as Llama 3 or Mistral using PyTorch or TensorFlow in air-gapped enclaves.
• Expertise deploying LangGraph, CrewAI, or AutoGPT.
• Experience engineering RAG stacks using LangChain and vector databases such as Milvus or Pinecone.
• Proficiency with unified mission systems such as Kudu Dynamic, TACMS, or Maven Support Systems, and custom API integration skills.
• TS/SCI with CI Poly clearance required.
• Master’s degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics; a Bachelor’s degree with an additional 5+ years of high-level engineering experience may substitute for a Master’s degree.

Nice To Haves

• Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM Associate certification.
• CMF Work Role Certification (Exploitation/Network Analyst) or experience as a 170A/17A.
• Military equivalency experience.

Responsibilities

• Architect frameworks that achieve analytic superiority.
• Engineer AI capabilities and push them into production.
• Mentor senior technologists by example through hands-on technical work.
• Solve complex technical roadblocks.
• Deploy agentic AI frameworks to scale network defense.
• Fine-tune open-source models in air-gapped enclaves.
• Engineer Retrieval-Augmented Generation stacks using LangChain and vector databases.
• Integrate mission systems using custom APIs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior